Data Scientist

Why join Willa? 

If you want to have a massive impact on the lives of millions and give freelancers and online creators the work & life they deserve, then this is the right place for you. 

You will be joining a rapidly growing company who will provide a challenging and rewarding role with excellent career opportunities. We don’t have managers that manage managers, we have a flat hierarchy with clear lines of communication as we recognize that everyone has a key part to play in the success of the business. 

Our success depends on our ability to build world-class products & technology together. As much as we enjoy spending time together, Willa is set up as a distributed team.

What you'll do 🧑‍💻

  • Closely collaborate with the Lead Data Scientist to plan and implement various analytics and data science initiatives within the organization
  • Take a stab at building a credit risk model, particularly using social media data (from Instagram, TikTok etc), to be able to predict fraudulent payment requests
  • Work closely with marketing to measure and model the user acquisition and activation funnel
  • Build dashboards and liaise with stakeholders in engineering, product and marketing to evaluate success criteria and learnings of various product initiatives
  • Work with different functions in the organization (finance, product and design, marketing) to learn from, as well as contribute to, their initiatives

As you can glean from above, this job is a blend of data science, product analytics and business acumen. You don't need to be an expert in any area, but demonstrate strength within at least one domain and have a keen desire to constantly learn and grow in the other two

Who are you? 🙋

  • Degree in a quantitative discipline (ideally in statistics, mathematics or machine learning); in lieu of degree, equivalent technical experience
  • Up to 2 years of relevant work experience; fresh graduates also welcome to apply
  • Working knowledge of machine learning algorithms
  • Data manipulation skills using Python, R and/or SQL
  • Strong visualization, presentation and persuasion skills to ensure that your work has a major impact on decision-making

Nice to have 🌟

  • Natural Language Processing (NLP) experience a distinct advantage, as is implementing ML algorithms end-to-end
  • Credit Risk modeling experience within a previous project
  • Track record of productionizing data pipelines and models on Google Cloud Platform (GCP)
  • Fintech and/or Big Tech experience

Or, know someone who would be a perfect fit? Let them know!

Why join us?

Our mission is to provide true pain killers for freelancers, the workforce of the future. We have real impact on their lives.

At Willa, we aim to build world-class products & services, with financial services elegantly embedded.

  • You're a key part of our journey 🚀

    A substantial part of Willa is owned by the people that build the company. Like yourself. We have a generous stock option program where everyone gets included.

  • Remote work = Team work 💻

    Willa's success depends on our ability to build world-class products & technology together. As much as we enjoy spending time together, Willa is set up as a distributed team.

  • Fair benefits for all of us 😊

    → Balancing your life with flexible work hours and remote work

    → Keeping you healthy with good healthcare contribution

    → Competitive retirement plans & insurance packages

    → Technical equipment of your choice

    → Stock option program

Workplace & Culture

Being a part of Willa means being a part of something bigger. But we're also part of a great team. You know, one with truly nice and awesome people that are open, supportive and treat each other with respect. 

We're working hard to build a diverse company, building world-class services for a diverse target audience.

We have kids, parents, cats, grandparents, puppies and nothing of the previously stated. Regardless we want to make your life work! 

Already working at Willa?

Let’s recruit together and find your next colleague.

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